Low-Latency Quant Developer: Execution & Trading Systems

METABIT ASSET MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

METABIT ASSET MANAGEMENT PTE. LTD. seeks a highly capable developer to drive full lifecycle quantitative strategy projects. You will research, optimize, deploy, and monitor live trading systems with strong focus on low-latency C++ and data-driven Python tooling.

You will collaborate with engineering and research to build robust backtesting tools and scalable data platforms, ensuring efficient execution for equity and futures markets.

Qualifications

• Proficient in Linux environments and production-level C++ for low-latency components.
• Python used for data analysis, rapid prototyping, and framework development.
• Solid understanding of equity and futures markets, market microstructure, and execution logic.
• Experience contributing to or designing complex frameworks (backtesters, data pipelines, or analytics engines).
• Comfortable with statistics, data analysis, and evaluating execution signals and performance metrics.

Responsibilities

• Participate in full lifecycle of quantitative strategy implementation including research, code optimization, deployment, and risk control.
• Design and develop strategy research tools on in-house backtesting platform for specific use cases.
• Own development and maintenance of live trading processes and improve production quality and reliability.
• Collaborate with engineering to shape core components of distributed systems, data platforms, and trading infrastructure.
• Partner with research to iterate on execution features and translate models into high-performance, low-latency code across markets.

Skills

Linux

C++ (modern)

Python

Low-latency

Data analysis

Equity & Futures

System design

Statistics

Tools

Backtesting Platform

FIX protocol

Exchange APIs

Job description

METABIT ASSET MANAGEMENT PTE. LTD. seeks a highly capable developer to drive full lifecycle quantitative strategy projects. You will research, optimize, deploy, and monitor live trading systems with strong focus on low-latency C++ and data-driven Python tooling.

You will collaborate with engineering and research to build robust backtesting tools and scalable data platforms, ensuring efficient execution for equity and futures markets.